Multi-omics analysis report

Analysis summary

Integration model: MOFA
Dependent variable: diagnosis
Sense check variable: PHF1
Clinical covariates: PHF1, amyloid, pTau, AD, Braak
Weights threshold: 0.2
Correlation threshold: 0.4
Disease ID (Open target database): MONDO_0004975

The interpretation depends on the direction of the analysis. If the direction is negative, features with positive weights are ‘down regulated’ in samples in disease state.

Direction of the analysis: -1

Factor most strongly correlated with sense check variable selected for downstream analysis: 6

Integration overview

Model

## Trained MOFA with the following characteristics: 
##  Number of views: 2 
##  Views names: mRNA proteins 
##  Number of features (per view): 2945 2945 
##  Number of groups: 1 
##  Groups names: group1 
##  Number of samples (per group): 40 
##  Number of factors: 15

Variance explained

Correlation heatmap

Weights distribution

Transcriptomics

Proteomics

Multi-omics signature from positive weights

Transcriptomics

Proteomics

Top positive features plots

Transcriptomics

Proteomics

Multi-omics signature from negative weights

Transcriptomics

Proteomics

Top negative features plots

Transcriptomics

Proteomics

Multi-omics network

Positive weights

Negative weights

Interactive visualisation

Positive weights

Negative weights

Multi-omics modules (eigenvalue)

Cell type enrichment

Positive weights

## $`1`

## 
## $`2`

## 
## $`3`

## 
## $`4`

Negative weights

## $`1`

## 
## $`2`

## 
## $`3`

## 
## $`4`

## 
## $`5`

Functional enrichment

Positive weights

## $`1`

## 
## $`2`

## 
## $`3`

## 
## $`4`

Negative weights

## $`1`

## 
## $`2`

## 
## $`3`

## 
## $`4`

## 
## $`5`

Transcription Factor enrichment

Positive weights

Negative weights

Pseudo-time analysis

Open Targets (Positive weights)

Transcriptomics

Proteomics

Open Targets (Negative weights)

Transcriptomics

Proteomics


Omix v1.0.0 – 2023-06-06 15:20:20

 

A report by Omix